Integrate the BrandMentions API with the Python API

Setup the BrandMentions API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate BrandMentions and Python remarkably fast. Free for developers.

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Popular BrandMentions and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Overview of BrandMentions#

The BrandMentions API lets you monitor and engage with online conversations about your brand in real-time. It provides insights into brand mentions across various channels, including social media, blogs, forums, and news sites. Pipedream serves as a powerful platform, enabling you to build automated workflows that respond to brand mentions, giving you the ability to track sentiment, identify influencers, and manage your brand’s online reputation efficiently.

Connect BrandMentions#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    brandmentions: {
      type: "app",
      app: "brandmentions",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.brandmentions.com/command.php`,
      params: {
        command: `ListProjects`,
        api_key: `${this.brandmentions.$auth.api_key}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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